Contains various implementations of Monte-Carlo-Tree-Search
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Updated
Dec 23, 2018 - Rust
Contains various implementations of Monte-Carlo-Tree-Search
Symbolic regression using Monte-Carlo tree search
An implementation of SEPARO, a board game, with Monte Carlo Tree Search algorithm in Rust/wasm.
Recombining and concurrent Monte Carlo tree search
Blokus client for the Software-Challenge Germany 2021
Animal Fight Chess Game(斗兽棋) written in rust.
MCTS AI that evaluates Mancala moves + a GUI, written in Rust.
A deep-learning chess engine written in Rust, partially compliant with the UCI protocol. DivineNN uses the Monte Carlo Tree Search (MCTS) algorithm to enhance the neural network policy using the neural network's value output.
Compute optimal actions for a specific state of the Metin2 fishing jigsaw making use of reinforcement learning principles.
Kognita - BSV [Bitcoin SV] specification implemented in Rust. Warning: Work-in-progress...
Mcts library written in rust, for rust.
A versatile Tic-tac-toe game featuring advanced AI strategies, including Monte Carlo tree search (MCTS), Minimax, implemented using efficient bitboard data structures.
Webserver for connect four with bruteforce and monte-carlo engines written completely in rust
Be Ready for the Only Clever Chess engine that remains Irrefutably Unbeaten
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